Sustainability

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Special Issue Editors

Prof. Dr. Pedro José Pérez-Martínez

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Guest Editor

School of Civil Engineering, Architecture and Urban Design, University of Campinas, Campinas 13083-889, Brazil
Interests: atmospheric sciences; urban air pollution monitoring and characterization; aerosol optical properties; air quality and human health

Prof. Dr. Regina Maura De Miranda

E-Mail Website
Guest Editor

School of Arts, Sciences, and Humanities, University of São Paulo, São Paulo 03828-000, Brazil
Interests: atmospheric sciences; urban air pollution monitoring and characterization; aerosol optical properties; air quality and human health

Special Issue Information

Dear Colleagues,

Air quality related diseases represent an unprecedented global health crisis and the effects may be associated with environmental and socio-economic factors. Traffic-related atmospheric emissions of greenhouse gases and toxic air pollutants are a serious environmental problem that affects climate change and air quality in smart cities. Many current planning models and policies around the world ignore the potential impact of general exposure to anthropogenic emissions and underestimate local exposure, especially at significant locations such as traffic hotspots.

This Special Issue aims to develop innovative methodologies using econometric models for vehicular activities and socioeconomic parameters, and demonstrate their applicability to urban smart agglomerations. Our aim is to find non-linear relationships between long-term transport mobility data, sociodemographic parameters and cardio and respiratory diseases. Large biases in regional studies that rely on pollution enhancement as a linear predictor of disease growth based on dose–response relationships are expected. This subject will provide a basis for establishing sound climate change policies in other areas, such as public health and urban planning.

Potential topics include, but are not limited to, sustainable mobility, transport geography, human health and exposure, urban air pollution, universal accessibility, transport energy and climate change, and transport planning and smart cities.

We look forward to receiving your contributions.

Prof. Dr. Pedro José Pérez-Martínez
Prof. Dr. Regina Maura De Miranda
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

sustainable mobility
transport geography, human health and exposure
urban air pollution
universal accessibility
climate change
transport planning
smart cities

Published Papers (1 paper)

Research

18 pages, 59151 KiB

Open AccessArticle

Methodology for the Identification of Vehicle Congestion Based on Dynamic Clustering

by Gary Reyes, Roberto Tolozano-Benites, Laura Lanzarini, César Estrebou, Aurelio F. Bariviera and Julio Barzola-Monteses

Sustainability 2023, 15(24), 16575; https://doi.org/10.3390/su152416575 - 06 Dec 2023

Cited by 1 | Viewed by 821

Abstract

Addressing sustainable mobility in urban areas has become a priority in today’s society, given the growing population and increasing vehicular flow in these areas. Intelligent Transportation Systems have emerged as innovative and effective technological solutions for addressing these challenges. Research in this area has become crucial, as it contributes not only to improving mobility in urban areas but also to positively impacting the quality of life of their inhabitants. To address this, a dynamic clustering methodology for vehicular trajectory data is proposed which can provide an accurate representation of the traffic state. Data were collected for the city of San Francisco, a dynamic clustering algorithm was applied and then an indicator was applied to identify areas with traffic congestion. Several experiments were also conducted with different parameterizations of the forgetting factor of the clustering algorithm. We observed that there is an inverse relationship between forgetting and accuracy, and the tolerance allows for a flexible margin of error that allows for better results in precision. The results showed in terms of precision that the dynamic clustering methodology achieved high match rates compared to the congestion indicator applied to static cells. Full article

(This article belongs to the Special Issue Air Quality-Related Sustainable Transportation Planning and Optimization in Smart Cities)

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